Non-invasive patient respiration mechanical parameter monitoring method and system and respirator

By using a first-order single-chamber respiratory system model and a sinusoidal function assumption under physiological constraints, and employing least squares fitting, non-invasive and continuous monitoring of respiratory system resistance, elasticity, and respiratory effort in mechanically ventilated patients was achieved. This solves the problems of inaccurate monitoring and invasive procedures in existing technologies and is applicable to patients in spontaneous breathing mode.

CN121817853APending Publication Date: 2026-04-10BEIJING AEONMED
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Patent Information

Application Number
CN202511805761.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-03
Publication Date
2026-04-10

AI Technical Summary

Technical Problem

Existing technologies make it difficult to perform non-invasive, continuous, and accurate monitoring of respiratory mechanics parameters in mechanically ventilated patients without interfering with normal ventilator ventilation, especially during spontaneous breathing, as they cannot effectively monitor respiratory system resistance, elasticity, and respiratory effort.

Method used

A first-order single-chamber respiratory system model was adopted, and combined with physiological constraints, the respiratory muscle pressure was modeled as a sinusoidal function with bias. The least squares method was used for fitting. By monitoring the pressure and flow data at the airway inlet, the respiratory system resistance, elasticity and respiratory effort were estimated in real time or per respiratory cycle.

Benefits of technology

It enables accurate monitoring of respiratory system resistance, elasticity, and respiratory effort during spontaneous breathing, avoiding invasive procedures and parameter lag issues, and is suitable for real-time or stable monitoring of different patient conditions.

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Abstract

The invention belongs to the technical field of breathing machines, and particularly relates to a non-invasive patient breathing mechanical parameter monitoring method and system and a breathing machine. The method comprises the following steps: acquiring pressure and flow data at an airway inlet of a patient; integrating the flow data to obtain the gas volume within a set time length; constructing a motion equation about respiratory muscle pressure based on the first-order single-chamber respiratory system model; by applying physiological constraint conditions, respiratory muscle pressure is modeled into a sine function changing along with time and a preset waveform biased, so that the problem that parameter estimation is underdetermined due to unknown respiratory muscle pressure is solved; the preset waveform is substituted into the motion equation, fitting is carried out through the least square method, the respiratory system resistance, elasticity and respiratory effort of the patient are synchronously estimated, and non-invasive monitoring of the respiratory mechanical parameters of the patient is achieved. According to the invention, the problem that the prior art depends on passive respiration and invasively or cannot continuously monitor pain spots is solved.
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